ICAC 2016 CALL-FOR-PARTICIPATION
http://icac2016.uni-wuerzburg.de/

13th IEEE International Conference on Autonomic Computing (ICAC 2016)
Wuerzburg, Germany, July 18-22, 2016

In cooperation with USENIX, SPEC and VDE ITG

CONFERENCE PATRONS

SAP, Huawei, Hewlett Packard Enterprise, Google, Microsoft, IBM

EARLY REGISTRATION DEADLINE: June 30, 2016

PROGRAM

A preliminary version is available at
http://icac2016.uni-wuerzburg.de/program/

KEYNOTES

* Prof. Betty HC Cheng:
Addressing Assurance for Self-Adaptive Systems in the Face of Uncertainty
* Prof. Karl H. Johansson:
Cyber-physical control of road freight transport
* Dr. Yixin Diao:
Building Autonomic Systems for IT Service Management
* Prof. Klaus Schilling:
ROSETTA: the challenge of escorting a comet and landing on its surface

Details can be found at http://icac2016.uni-wuerzburg.de/program/key-notes/

WORKSHOPS

* 2nd Workshop on Distributed Adaptive Systems (DAS 2016)
* 3rd Workshop on Self-Improving System Integration (SISSY 2016)
* 11th Workshop on Models@run.time (MRT 2016)
* 11th Workshop on Feedback Computing (FC 2016)
* 1st Workshop on Self Organizing Self Managing Clouds (SOSeMC 2016)
* Annual Meeting of the SPEC RG DevOps Performance Working Group

Details can be found at http://icac2016.uni-wuerzburg.de/workshops/

SCOPE AND TOPICS

ICAC is the leading conference on autonomic computing, its foundations,
principles, engineering, technologies, and applications. Nowadays,
complex systems of all types, like large-scale data centers, cloud computing
infrastructures, cyber-physical systems, the internet of things, and similar,
are increasingly complex, involving many active, interconnected components
requiring careful coordination. Being impossible for a human to manage
such systems, the autonomic computing paradigm with its support for
self-management capabilities becomes increasingly indispensable
for the components of our IT world.

The conference seeks latest research advances on science and engineering
concerning all aspects of autonomic computing, including but not limited to
the following main research topics:

* Foundations
- Fundamental science and theory of autonomic computing systems and feedback
control for software, self-awareness and self-expression
- Algorithms, such as AI, machine learning, control theory, operations
research, probability and stochastic processes, queueing theory, rule-based
systems, biological-inspired techniques, and socially-inspired techniques
- Formal models and analysis of self-management, emergent behavior,
uncertainty, self-organization, self-awareness, trustworthiness

* Resource Management in Data Centers
- Hypervisors, operating systems, middleware, and platforms for self-managing
data centers and cloud infrastructures
- Sensing, energy efficiency, and resource adaptation
- Autonomic components, such as multi-core servers, storage, networking, and
hardware accelerators
- Applications and case studies of end-to-end design and implementation of
systems for resource management

* Cyber-Physical Systems (CPS) and Internet of Things (IoT)
- System architectures OS, services, middleware, and protocols for CPS and IoT
- Energy, real-time, and mobility management
- Design principles, methodologies, and tools for CPS and IoT
- Self-organization under severe resource constraints
- Applications and case studies of autonomic CPS and IoT

* Self-Organization and Organic Computing
- Self-organization principles and organic computing principles borrowed from
systems theory, control theory, game theory, decision theory, social
theories, biological theories, etc.
- Self-organization, emergent behavior, decentralized control, individual and
social/organizational learning, scalability, robustness, goal- and norm-
governed behavior, online self-integration for trustworthy self-organizing
and organic systems
- Infrastructures and architectures for self-organizing systems and organic
computing systems
- Applications and case studies for self-organization and organic computing

* Emerging Computing Paradigms: Cognitive Computing, Self-Aware Computing
- Advanced learning for cognitive computing such as meta-cognitive learning,
self-regulatory learning, consciousness and cognition in learning,
collaborative / competitive learning, and online / sequential learning
- Architectures, control, algorithmic approaches, instrumentation, and
infrastructure for cognitive computing and self-aware systems
- Cognitive computing and self-awareness in heterogeneous and decentralized
systems
- Applications and case studies for social networks, big data systems, deep
learning systems, games, and artificial assistants, cognitive robots, and
systems with self-awareness and self-expression

* Software Engineering for Autonomic Computing Systems: Architecture,
Specifications, Assurances
- Design methodology, frameworks, principles, infrastructures, and tools for
development and assurances for autonomic computing systems
- System architectures, services, components and platforms broadly applicable
for autonomic computing system engineering
- Goal specification and policies, modeling of service-level agreements,
behavior enforcement, IT governance, and business-driven IT management
- Applications and case studies for software engineering approaches for
autonomic computing systems

In addition to fundamental results ICAC is also interested in applications and
experiences with prototyped or deployed systems solving real-world problems in
science, engineering, business, or society. Typical application areas for ICAC
are autonomous robotics, cloud computing, cyber-physical systems, data centers,
dependable computing, industrial internet / industry 4.0, internet of things,
mobile computing, service-oriented systems, smart buildings, smart city,
smart grid / energy management, smart factory, smart user interfaces,
space applications, and traffic management.

This year a doctoral symposium will be organized as part of ICAC.
For more information see
http://icac2016.uni-wuerzburg.de/calls/doctoral-symposium/

All papers must represent original and unpublished work that is not currently
under review. Submissions are required to mark at least one topic area.
Papers will be reviewed by at least three PC members including at least two
having specific domain expertise concerning the indicated
main research topics and judged on originality, significance, interest,
correctness, clarity, and relevance to the broader community. At least one author
of each accepted paper is expected to attend the conference.

Papers can be submitted in one of the following three categories with different
acceptance criteria for each category:

* Full research papers limited to 10 pages (double column, IEEE format)
* Experience papers limited to 8 pages (double column, IEEE format)
* Short papers limited to 6 pages (double column, IEEE format)

Full and experience research papers are strongly encouraged to report on
experiences, measurements, user studies, and provide an appropriate quantitative
evaluation if at all possible. Short papers can either be work in progress,
or position and challenge papers that motivate the community to address
new challenges. See the conference website for format instructions
(http://icac2016.uni-wuerzburg.de/calls/instructions-to-authors/).
Papers must be submitted electronically in PDF format through the
ICAC’2016 submission site (https://easychair.org/conferences/?conf=icac2016).

There will be a BEST PAPER AWARD for the full research paper category and
it is panned that a selection of the best papers of the full research paper
category will be invited to submit an extended version of their contribution
for an ICAC 2016 SPECIAL ISSUE after the conference.

___________________________________________________________________

ORGANIZATION

General Chairs
Samuel Kounev, University of Wuerzburg, Germany

Program Committee Co-Chairs
Holger Giese, Hasso Plattner Institute, Germany
Jie Liu, Microsoft Research, Redmond, USA

Workshop Chair
Lydia Chen, IBM Zurich, Switzerland

Publicity Co-Chairs
Giacomo Cabri, Universita di Modena e Reggio Emilia, Italy
Javier Camara, Carnegie Mellon University, Pittsburgh, USA
Nikolas Herbst, University of Wuerzburg, Germany
Jianguo Yao, Shanghai Jiao Tong University, China

Finance Chair
Philippe Lalanda, University of Grenoble, France

Proceedings Chair
Daniel Gmach, HP Labs, USA

Poster and Demo Chair
Stephanie Chollet, Grenoble INP Esisar/LCIS, France

Local Arrangements and Web Chair
Lukas Ifflaender, University of Wuerzburg, Germany

Doctoral Symposium Chair
Christian Becker, University of Mannheim, Germany
Evgenia Smirni, College of William and Mary, USA
___________________________________________________________________

PROGRAM COMMITTEE

Tarek Abdelzaher, University of Illinois at Urbana-Champaign, USA
Artur Andrzejak, Heidelberg University, Germany
Luciano Baresi, DEIB – Politecnico di Milano, Italy
Jacob Beal, BBN Technologies, USA
Christian Becker, University of Mannheim, Germany
Kirstie Bellman, The Aerospace Corporation, USA
Nelly Bencomo, Aston University, UK
Giacomo Cabri, Universita di Modena e Reggio Emilia, Italy
Lydia Chen, IBM Zurich, Switzerland
Lucy Cherkasova, HP Labs, USA
Elisabetta Di Nitto, Politecnico di Milano, Italy
Ada Diaconesco, Telecom ParisTech, France
Schahram Dustdar, TU Wien, Austria
Lukas Esterle, Universitaet Klagenfurt, Austria
Kurt Geihs, Universitaet Kassel, Germany
Rean Griffith, VMWare, USA
Yuan He, Tsinghua University, China
Jeff Kephart, IBM T.J. Watson Research Center, USA
Xenofon Koutsoukos, Vanderbilt University, USA
Michael Kozuch, Intel, USA
Philippe Lalanda, University of Grenoble, France
Peter Lewis, Aston University, UK
Xiaolin Li, University of Florida, USA
Marin Litoiu, York University, Canada
Xue Liu, McGill University, Canada
Chenyang Lu, Washington University at St. Louis, USA
Ying Lu, University of Nebraska – Lincoln, USA
Martina Maggio, Lund University, Sweden
Sam Malek, George Mason University, USA
Julie McCann, Imperial College London, UK
Arif Merchant, Google, USA
Christian Mueller-Schloer, Leibniz Universitaet Hannover, Germany
Hausi A. Mueller, University of Victoria, Canada
Miroslav Pajic, Duke University, USA
Gian Pietro Picco, University of Trento, Italy
Dario Pompili, Rutgers University, USA
Eric Rutten, NRIA Grenoble Rhône-Alpes, France
Hartmut Schmeck, Karlsruhe Institute of Technology, Germany
Onn Shehory, IBM Research Haifa, Israel
Mike Smit, Dalhousie University, Canada
Christopher Stewart, Ohio State University, USA
Ladan Tahvildar, Waterloo University, Canada
Sven Tomforde, Universitaet Augsburg, Germany
Bhuvan Urgaonkar, Penn State, USA
Di Wang, Microsoft Research, USA
Danny Weyns, Linnaeus University, Sweden
Zheng Zhang, Rutgers University, USA
Xiaoyun Zhu, Futurewei Technologies, USA